Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

added GDS and FYP #8

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

added GDS and FYP #8

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,13 @@ We do not claim that any of the resources are fully fledged online courses, or t

## Full Syllabus

### Geospatial Data Science (Python)
Material for the course taught in spring 2022 at IT University of Copenhagen, to 1st year Master students in Data Science. 14 units, including lectures, exercises, tutorials. Covers spatial data analysis, human mobility, and spatial networks.

* [Repository (lectures & admin)](https://github.com/mszell/geospatialdatascience)
* [Repository (exercises & tutorials)](https://github.com/anerv/GDS2022_exercises)


### Urban Analytics
This provides 15 practicals in R with Slides - associated with (but independent from the [book](https://uk.sagepub.com/en-gb/eur/urban-analytics/book249267)) https://github.com/alexsingleton/urban_analytics ; topics include R, SQL, Descriptive Statistics, Charts and Graphs, Mapping Areas, Mapping Points, Web Mapping, Mapping Flows, Geodemographics, Indices, Spatial Relationships, Regression, Agent Based Models and Network Analysis.
* URL: https://github.com/alexsingleton/urban_analytics
Expand Down Expand Up @@ -151,6 +158,12 @@ Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-b

## Short Course / Practical Labs

### Urban Data Science, First Year Project: Road collisions analysis
Teaching material for a data science project, for 4-5 lectures, for first year Data Science students after they have learned the basics of programming and data science. Taught in spring 2021 at IT University of Copenhagen. Teaches exploring, transforming, analyzing, visualizing a real-world geospatial data set with Python and command line tools.

* [Repository](https://github.com/mszell/fyp2021)


### Creating a Geodemographic Classification Using K-means Clustering in R
This tutorial provides you with the basic skills to build your own geodemographic classification using R.
* URL: https://data.cdrc.ac.uk/dataset/creating-geodemographic-classification-using-k-means-clustering-r
Expand Down